Filters: Tags: best management practice (BMP) (X) > Types: OGC WMS Layer (X)

Filters Date Range Past year (3) Past month (0) Past week (0) Past day (0) Custom range... To   Search Extensions Budget (1) Citation (1) Project (1) Types Map Service (10) OGC WFS Layer (10) OGC WMS Service (10) Citation (1) Contacts Desert Landscape Conservation Cooperative Gregory E Granato U.S. Geological Survey - ScienceBase U.S. Geological Survey Water Resources More... Categories Data (4) Software (2) Project (1) Publication (1) Tag Types Theme (5) DLCC Keyword (2) Label (4) USGS Scientific Topic Keyword (5) theme (2) Place (5) Subject (1) More... Tag Schemes https://www.sciencebase.gov/vocab/category/DLCC/DLCCKeyword (5) None (3) https://earthdata.nasa.gov/gcmd-forum (2) ISO 19115 Topic Category (4) https://www.sciencebase.gov/vocab/category/DLCC/DLCCLocation (5) USGS Biocomplexity (1) https://www.sciencebase.gov/vocab/category/LCC/Deliverable (2) More... View Results as: JSON ATOM CSV

Best Management Practices Statistical Estimator (BMPSE) Version 1.2.0 The Best Management Practices Statistical Estimator (BMPSE) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to provide planning-level information about the performance of structural best management practices for decision makers, planners, and highway engineers to assess and mitigate possible adverse effects of highway and urban runoff on the Nation's receiving waters (Granato 2013, 2014; Granato and others, 2021a,b). The BMPSE was used to calculate statistics and create input files for fitting the trapezoidal distribution to data from studies documenting the performance of individual structural stormwater... Categories: Software; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Best Management Practice (BMP), Ecology, Environmental Health, Event Mean Concentration, Federal Highway Administration, All tags... Hydrology, Land Use Change, SELDM, Software, Stochastic Empirical Loading and Dilution Model, USGS Science Data Catalog (SDC), Water Quality, Water Resources, environment, highway runoff, inlandWaters, runoff, stormwater, transportation, Fewer tags Report and Publications: Assessing Evapotranspiration Rate Changes for Proposed Restoration of the Forested Uplands of the DLCC Final Report - Executive Summary: This final project report is prepared to summarize the research project titled “Assessing evapotranspiration rate changes for proposed restoration of the forested uplands of the Desert Landscape Conservation Cooperatives (LCC)” for the Desert LCC of the Bureau of Reclamation as a requirement for closing out the project. This report includes the scope of work, summary of research project, results, and conclusions.Among all of the components of the terrestrial water cycle, evapotranspiration (ET) consumes the largest amount of water. Accurate estimation of ET is very important to understand the influence of ET to the hydrologic response of recharge and runoff processes in the water... Categories: Data, Publication; Types: Citation, Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, ATMOSPHERE, ATMOSPHERE, ATMOSPHERIC WATER VAPOR, ATMOSPHERIC WATER VAPOR, All tags... AZ-01, Applications and Tools, Arizona, Datasets/Database, EARTH SCIENCE, EARTH SCIENCE, EVAPOTRANSPIRATION, EVAPOTRANSPIRATION, Federal resource managers, LCC Network Science Catalog, Northern Arizona, Publication, Publication, Publication, Report, United States, WATER VAPOR PROCESSES, WATER VAPOR PROCESSES, adaptation, best management practice (BMP), biota, climate change, completed, drought, ecosystem services, fire, forest, groundwater, hydrology, land cover, management, model, native, plant, product, remote sensing, resilience, restoration, snow, soil, topography, vegetation, water availability, water budget, watershed, Fewer tags Statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM) This data release documents statistics for simulating structural stormwater runoff best management practices (BMPs) with the Stochastic Empirical Loading and Dilution Model (SELDM)(Granato, 2013). The U.S. Geological Survey (USGS) developed SELDM and the statistics documented in this report in cooperation with the Federal Highway Administration (FHWA) to indicate the risk for stormwater flows, concentrations, and loads to be above user-selected water-quality goals and the potential effectiveness of mitigation measures to reduce such risks. In SELDM, three treatment variables, hydrograph extension, runoff volume reduction, and water-quality treatment are modeled by using the trapezoidal distribution and the rank... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Best Management Practice (BMP), Ecology, Environmental Health, Event Mean Concentration, Federal Highway Administration, All tags... Hydrology, SELDM, Stochastic Empirical Loading and Dilution Model, USGS Science Data Catalog (SDC), Water Quality, environment, highway runoff, inlandWaters, runoff, stormwater, transportation, Fewer tags Stochastic Empirical Loading and Dilution Model (SELDM) software archive The Stochastic Empirical Loading and Dilution Model (SELDM) was developed by the U.S. Geological Survey (USGS), in cooperation with the Federal Highway Administration (FHWA) Office of Project Delivery and Environmental Review to transform complex scientific data into meaningful information about the risk of adverse effects of runoff on receiving waters, the potential need for mitigation measures, and the potential effectiveness of such management measures for reducing these risks (Granato 2013; Granato and Jones, 2014). SELDM is a stochastic model because it uses Monte Carlo methods to produce the random combinations of input variable values needed to generate the stochastic population of values for each component... Categories: Software; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Best Management Practice (BMP), Event Mean Concentration, Federal Highway Administration, Highway-Runoff Database, Hydrology, All tags... Land Use Change, SELDM, Stochastic Empirical Loading and Dilution Model, USGS Science Data Catalog (SDC), Urban Runoff, Water Quality, Water Resources, environment, highway runoff, runoff, stormwater, transportation, Fewer tags Texas Parks and Wildlife Department Wildlife Diversity Program Texas is home to tens of thousands of native animal and plant species. These species form the fabric of over 800 habitat types, from bottomland hardwood forests, big tooth maple canyons, to black grama grasslands. Hundreds of these species occur only in Texas and nowhere else in the world. The Wildlife Diversity Program works to conserve this fabric for the benefit of current and future generations. Our team includes experts in botany, ornithology, herpetology and invertebrate biology that provide leadership on the conservation of rare species and areas with high conservation value across the state. Regional diversity biologists provide a local resource for landowners as well as leadership within local research,... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Texas, best management practice (BMP), inventory, invertebrate, map, All tags... outreach, plan, plant, policy, rare, research, restoration, threatened & endangered, wildlife, Fewer tags Assessing Evapotranspiration Rate Changes for Proposed Restoration of the Forested Uplands of the DLCC Accurate estimation of evapotranspiration (ET) is essential for assessments of water balance and hydrologic responses to forest restoration treatments in uplands adjacent to the Desert LCC. As part of the Four Forests Restoration Initiative, a new paired watershed study is being planned to assess the hydrologic effects of mechanically thinning and restoring a more frequent fire regime to the ponderosa pine forests of Arizona. Water and energy balances will be measured and modeled in these paired watersheds to help inform and better plan for the hydrologic responses of future forest restoration actions. Researchers at Northern Arizona University have collected six years of eddy covariance measurements of ET in the... Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2012, ATMOSPHERE, ATMOSPHERE, ATMOSPHERIC WATER VAPOR, ATMOSPHERIC WATER VAPOR, All tags... AZ-01, Applications and Tools, Arizona, Data Acquisition and Development, Data Management and Integration, Datasets/Database, Desert Landscape Conservation Cooperative, EARTH SCIENCE, EARTH SCIENCE, EVAPOTRANSPIRATION, EVAPOTRANSPIRATION, Federal resource managers, Informing Conservation Delivery, LCC, LCC Network Science Catalog, Northern Arizona, Project, Publication, United States, WATER VAPOR PROCESSES, WATER VAPOR PROCESSES, adaptation, best management practice (BMP), biota, climate change, completed, drought, ecosystem services, fire, forest, groundwater, hydrology, land cover, management, model, native, plant, remote sensing, resilience, restoration, snow, soil, topography, vegetation, water availability, water budget, watershed, Fewer tags Compartiendo sus agostaderos con las aves de pastizal ¿Por qué es importante para usted como ganadero preocuparse por las aves del pastizal? En términos prácticos, las aves del pastizal son indicadoras de la condición de sus potreros, ya que la abundancia de aves de pastizal le dice a usted que sus potreros están en buena condición para sostener su actividad productiva. Además, las aves del pastizal cumplen funciones que ayudan a mantener al ecosistema del pastizal. Aparte de los beneficios que proveen las aves del pastizal, éstas son parte de nuestro patrimonio natural y cultural que enriquecen la vida diaria de los habitantes de los pastizales mexicanos. Por este motivo, hemos elaborado este manual que contiene recomendaciones generales de manejo de pastizales para... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Chihuahuan Desert, Spanish, best management practice (BMP), bird, economic, All tags... grassland, grazing, map, policy, threat, vegetation, Fewer tags Grasslands Beneficial Management Practices/ Buenas Prácticas de Manejo de Pastizales About: The beneficial management practices found in this online tool were compiled by experts involved in the Commission for Environmental Cooperation’s (CEC) North American Grasslands: Management Initiatives and Partnerships to Enhance Ecosystem and Community Resilience and Catalyzing North American Grasslands Conservation and Sustainable Use Through Partnerships projects. Around one hundred beneficial management practices were identified through a meta-analysis of publications, reports, and documents regarding grassland stewardship from ranchers, ranching associations, conservation organizations, government programs and academic institutions published between 1993 and 2013. While practices range from the use... Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: North America, Spanish, best management practice (BMP), clearinghouse, economic, All tags... grassland, grazing, management, map, outreach, Fewer tags Application of the North Carolina Stochastic Empirical Loading and Dilution Model (SELDM) to Assess Potential Impacts of Highway Runoff In 2013, the U.S. Geological Survey (USGS) in partnership with the U.S. Federal Highway Administration (FHWA) published a new national stormwater quality model called the Stochastic Empirical Loading Dilution Model (SELDM; Granato, 2013). The model is optimized for roadway projects but in theory can be applied to a broad range of development types. SELDM is a statistically-based empirical model pre-populated with much of the data required to successfully run the application (Granato, 2013). The model uses Monte Carlo methods (as opposed to deterministic methods) to generate a wide range of precipitation events and stormwater discharges coupled with water-quality constituent concentrations and loads from the upstream... Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Best Management Practice (BMP), Blue Ridge, Coastal Plain, Event Mean Concentration, Federal Highway Administration, All tags... Highway runoff, Highway-Runoff Database, Hydrology, North Carolina, Piedmont, Runoff, SELDM, State Highway, Stochastic Empirical Loading and Dilution Model, Stormwater, Streamflow, USGS Science Data Catalog (SDC), United States, Urban Runoff, Water Quality, Water Quality, Water Resources, Water Resources, chemical constituents, environment, highways and roads, physical constituents, stormwater, transportation, Fewer tags Soil characteristics and microbial taxonomy in selected urban stormwater best management practices (BMPs) in Clarksburg, MD, 2015 The data were gathered as a preliminary assessment of soil microbiology and conditions in selected urban stormwater best management practices (BMPs) in Clarksburg, MD. Four bioretention facilities (BF), four dry ponds (DP), and four surface sand filters (SSF) were selected. Three samples were taken from each BMP (a single sample from one dry swale (DS) was also collected). BMPs were selected based on their position along various stormwater treatment trains. Soil samples were taken after precipitation events in the summer of 2015 and analyzed for various soil chemistry parameters and microbial taxonomic profiling. Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Clarksburg, Land Use Change, Maryland, Montgomery County, Soil Sciences, All tags... USGS Science Data Catalog (SDC), bacteria, bacterial denitrifiers, best management practice (BMP), bioretention facility, denitrification, dry pond, dry swale, land use, microbes, microbial taxonomic community, microorganisms, soil chemistry, stormwater runoff, stormwater runoff, surface sand filter, urban runoff, urban stormwater, urbanization, Fewer tags